Real-time micro observation technique for tele-micro-operation

Ohba, Kohtaro; Ortega, Carlos Alberto Catalina; Tanie, K.; Rin, Gakuyoshi; Dangi, Ryoichi; Takei, Yoshinori; Kaneko, Takashi; Kawahara, Nobuaki

doi:10.1109/iros.2000.894677

Cited by 10 publications

(2 citation statements)

References 6 publications

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“…The crystal is carefully held between the main-finger and the sub-finger and is then placed in a traditional microloop for flash-cooling and X-ray data collection. A series of algorithms are used to control the camera focus (Ohba et al, 2000), detect the crystal position and determine the best orientation for handling the crystal . Many of these operations are performed automatically, including opening of the fingers to a size appropriate for the target crystal, closing of the fingers to carefully hold the crystal and transfer of the crystal to the target microloop.…”

Section: Level Of Automationmentioning

confidence: 99%

Approaches to automated protein crystal harvesting

Deller

Rupp

2014

Acta Cryst Sect F

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The harvesting of protein crystals is almost always a necessary step in the determination of a protein structure using X-ray crystallographic techniques. However, protein crystals are usually fragile and susceptible to damage during the harvesting process. For this reason, protein crystal harvesting is the single step that remains entirely dependent on skilled human intervention. Automation has been implemented in the majority of other stages of the structure-determination pipeline, including cloning, expression, purification, crystallization and data collection. The gap in automation between crystallization and data collection results in a bottleneck in throughput and presents unfortunate opportunities for crystal damage. Several automated protein crystal harvesting systems have been developed, including systems utilizing microcapillaries, microtools, microgrippers, acoustic droplet ejection and optical traps. However, these systems have yet to be commonly deployed in the majority of crystallography laboratories owing to a variety of technical and cost-related issues. Automation of protein crystal harvesting remains essential for harnessing the full benefits of fourth-generation synchrotrons, free-electron lasers and microfocus beamlines. Furthermore, automation of protein crystal harvesting offers several benefits when compared with traditional manual approaches, including the ability to harvest microcrystals, improved flash-cooling procedures and increased throughput.

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Section: Level Of Automationmentioning

confidence: 99%

Approaches to automated protein crystal harvesting

Deller

Rupp

2014

Acta Cryst Sect F

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“…A Micro VR camera system had been developed to provide real-time all-in-focus image [6]. Depth from focus theory was applied to the Micro VR system to obtain depth information.…”

Section: Introductionmentioning

confidence: 99%

High-speed autofocusing of multisized microobjects

Nguyen

Ohara

Takubo

et al. 2012

2012 IEEE International Conference on Automation Science and Engineering (CASE)

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This paper proposes a new high-speed autofocus algorithm for observing multisized microobjects under a transmitted light microscope. The method estimates the blurriness of the object by analyzing the intensity variation of a defined region around the object border in the frequency domain. A defocus function is proposed so that the best focused position of the object is found when the defocus function reaches its minimum within the close region around the focal plane. Experiments for execution time and accuracy evaluation have been performed to compare its performance to other autofocus algorithms. Experimental results showed that the proposed algorithm outperformed other algorithms in terms of execution time and accuracy and that it is more robust to environmental change.

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